Develop Machine Learning with a Deep Learning Reference Stack with PyTorch* & OpenBLAS

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Pull Command for Latest Version

docker pull sysstacks/dlrs-pytorch-clearlinux:v0.6.0-oss

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Description

The Deep Learning Reference Stack is an integrated, highly performant open-source stack optimized for Intel® Xeon® Scalable platforms. This open-source community release is part of our effort to ensure AI developers have easy access to all of the features and functionality of the Intel® platforms. The Deep Learning Reference Stack is highly tuned and built for cloud native environments. With this stack, we are enabling developers to quickly prototype by reducing the complexity associated with integrating multiple software components, while still giving users the flexibility to customize their solutions. This version includes additional components to provide greater flexibility and a more comprehensive take on the deep learning environment. Highly tuned and built for cloud native environments, the release enables developers to quickly prototype by reducing complexity associated with integrating multiple software components, while still giving users the flexibility to customize their solutions.

The stack includes highly tuned software components across the operating system (Clear Linux* OS or Ubuntu*), deep learning framework (PyTorch*), deep learning libraries and other software components. This open-source community release is part of an effort to ensure AI developers have easy access to all features and functionality of Intel platforms.To offer more flexibility, there are multiple versions of the Deep Learning Reference Stack.

Documentation and Sources

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Docker Hub*
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README
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Legal Notice

By accessing, downloading or using this software and any required dependent software (the “Software Package”), you agree to the terms and conditions of the software license agreements for the Software Package, which may also include notices, disclaimers, or license terms for third party software included with the Software Package. Please refer to the licenses information for additional details.